Observational Health Data Analyst

Medasource; Raritan (NJ); Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking a talented Observational Health Data Analyst to lead the analysis of critical health data. This exciting role involves utilizing advanced statistical methods and programming skills to derive insights from large datasets, ensuring quality and timeliness in research. As part of a dynamic team, you will engage in meaningful work that directly impacts healthcare outcomes. If you are a self-starter with a passion for data and problem-solving, this opportunity offers the chance to make a real difference in the healthcare industry while working remotely. Join a forward-thinking company that values your expertise and contributions.

Qualifications

• 4+ years of experience in statistical programming with R or SQL.
• Experience with large healthcare datasets is required.

Responsibilities

• Lead programming and oversight for observational health data analysis.
• Develop statistical methods for large-scale datasets.

Skills

Statistical Programming (R)

Database Programming (SQL)

Data Analysis

Communication Skills

Problem Solving

Education

Bachelor's Degree in Biostatistics

Master's Degree in Public Health

Tools

R

SQL

OHDSI Programs

Job description

Direct message the job poster from Medasource

Professional Life Sciences Recruiter at Medasource

Observational Health Data Analyst:

6-month contract with high possibility of extension

Remote

Our client is looking for an expert Observational Health Data Analyst to spearhead the analysis of all existing observational health data. This individual will be responsible for performing the characterization and quality analysis of data, utilizing statistical and database programming methodologies to answer key research questions. We are looking for this person to be a great team player, a self-starter, and a true problem solver.

Responsibilities:

• Lead and organize programming and oversight activity for the analysis of observational health data, ensuring quality and timeliness
• Develop and apply statistical methods to large-scale observational datasets
• Perform statistical analysis utilizing various SQL and R procedures
• Utilize statistical methodologies related to the use of real-world data

Qualifications:

• Minimum of a Bachelors' Degree in Biostatistics, Public Health, Epidemiology, Informatics, Computer Science, or related disciplines is required
• 4 years of experience in statistical programming (R), or database programming (SQL) is required
• 2 years of programming against large healthcare data sets is required
• 2 years of relevant prior work experience in the healthcare industry within a pharmaceutical company, insurer, or within a health system is required
• Experience with the statistical analysis and management of administrative claims datasets or electronic health records
• Demonstrated experience working with large observational health databases
• Excellent writing and communication skills
• Experience working with OHDSI (Observational Health Data Sciences and Informatics) programs and teams preferred

Seniority level

Associate

Employment type

Full-time

Job function

Analyst, Science, and Research

Industries

Hospitals and Health Care and Pharmaceutical Manufacturing